Lead Cyber Security Data Analytics Engineering Manager

Full Time

Madison-Davis Client

Overview

We are focused on delivering a multi-layered “defense in depth” approach to ensure the Bank’s information assets are adequately protected. As part of this approach, we use large, globally distributed big data applications such as Splunk, Hadoop and cloud-based data lakes to discover, detect, and disrupt cyber threats. You will support the head of cyber security analytics (CSA) as well as relevant internal clients to investigate, evaluate, improve, and engineer solutions and data for IT security related data analytics and pattern recognition. You will support our cyber security analytics engineering solutioning, research, development, implementation and enhancement efforts.

Your Key Responsibilities:

  • Manage a global 365x24x7 SIEM environment in a global enterprise environment, abiding by organizational and policy-driven rules, while ensuring data quality
  • Support large projects and programs in enterprise organizations and excellent communication, inter-personal, and team management skills
  • Strong, proven IT security engineering background, preferably in SIEM implementations, cyber security data analytics and data lake implementation and management
  • Lead IT security and/or big cyber data projects from initial evaluation, selection, associated project team building to final implementation and support
  • Broad understanding of cyber security threats, security use case development, and compliance fundamentals
  • Deploy security solutions through entire lifecycle (development, UAT, production) while ensuring data confidentiality, integrity, availability, and quality

Your Skills and Experience:

  • Experience with IT security/big data /SIEM projects and tools; implementation highly preferred (e.g., Splunk, Chronicle, ELK, etc.)
  • Extensive experience investigating, evaluating and implementing IT security solutions in global organizations, including cloud-based solutions
  • Experience with virtualization (VMware, KVM, Xen, Docker, etc.) and hands-on technical working/implementation experience with data analytics; security use case development or SIEM tool
  • SOC management experience highly preferred and cloud experience (GCP, Azure, OpenStack, Cloudera, etc.) highly preferred
  • Experience with large datasets and filesystems (Hadoop, etc.) and ITIL
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